Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
3D Animation
Fantasy
Disney
Pixar
Western Art
PromptSharingSamaritan
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Wonder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Wonder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/Wonder", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Special thanks to digiplay for rescuing this model from
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<center><img src="https://cdn-uploads.huggingface.co/production/uploads/646c83c871d0c8a6e4455854/_mP7CDOMKIchB8OjZnDX8.png" style="height:768px; width:512px; border-radius: 7%; border: 10px solid #336680; padding-top:0px;" span title="Wonder Raw Output"></center>
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Special thanks to digiplay for rescuing this model from oblivion! The 0398d5acce model is the 0508c15a19 model.
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<center><img src="https://cdn-uploads.huggingface.co/production/uploads/646c83c871d0c8a6e4455854/_mP7CDOMKIchB8OjZnDX8.png" style="height:768px; width:512px; border-radius: 7%; border: 10px solid #336680; padding-top:0px;" span title="Wonder Raw Output"></center>
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